Info

Recent News

(20181022)
NEDC TUH EEG Seizure (v1.4.0):
This release includes improvements to the quality of annotations.
Updates to the training dataset include annotation corrections
and the removal of one session.

(20180621)
The TUH EEG Events Corpus (v1.0.1):
The EDF files in the previous release with corrupted headers have
been fixed. All files should pass processing using standard open
source tools.

Automatic Discovery of EEG Cohorts From Clinical Records

Electronic medical records (EMRs) collected at every hospital in the
country collectively contain a staggering wealth of biomedical knowledge.
This information could be transformative if properly harnessed. Our focus
in this research project is the automatic interpretation of a clinical
EEG BigData resource known as the TUH EEG Corpus (TUH EEG). Clinicians
can retrieve relevant EEG signals and EEG reports using standard queries
(e.g. “Young patients with focal cerebral dysfunction who were treated
with Topamax”).

An important outcome is the existence of an annotated BigData archive of
EEGs that will greatly increase accessibility for non-experts in
neuroscience, bioengineering and medical informatics who would like to
study EEG data. The creation of this resource through the development of
efficient automated data wrangling techniques demonstrates that a much
wider range of BigData bioengineering applications are now tractable.